Financial Crime Investigation Operations

Keep your current AML tools.
Replace the investigation chaos.

CaseAxis is a post-alert investigation layer for financial-crime teams. Bring alerts from existing monitoring and screening systems into one controlled workflow for triage, evidence, playbooks, human-reviewed AI, QA, internal SAR/STR preparation, and portable investigation records.

Private design-partner preview · synthetic/de-identified evaluation only

CaseAxis investigation recordHuman governed
01
Alert intake & triagePreserve source lineage before escalation
02
Investigation workspaceEvidence, customer context, playbooks and activity
03
Grounded AI assistanceAdvisory output with source facts and human review
04
QA & four-eyes reviewIndependent review before controlled progression
05
Portable case packageAudit/examiner-ready PDF, manifest and structured export
Post-alertDesigned to coexist with current monitoring and screening.
Human authorityAI advises. People approve consequential decisions.
Evidence-firstDecision lineage, custody and review state stay visible.
PortableExport the investigation record without UI lock-in.

One investigation record

From alert to defensible outcome

CaseAxis focuses on the operational work after a monitoring or screening system raises an alert.

01

Intake & triage

Receive an alert with source lineage, assess priority, and require a human escalation decision before a case is created.

02

Investigate

Bring customer context, evidence, notes, assignments, activities, and versioned playbook steps into the case workspace.

03

Assist

Use bounded AI for summaries and drafting while preserving source provenance, review state, and human authority.

04

Decide

Document rationale, disposition, checklist completion, and the internal SAR/STR recommendation workflow.

05

Review

Separate analyst work from QA/four-eyes review so approval and reviewer independence are explicit.

06

Reconstruct

Generate a complete investigation package and structured portability bundle for audit, examination, or controlled migration.

Designed for investigation operations

Control the workflow without replacing detection

Investigation operations

  • Alert queue and human triage
  • Case ownership, priority and due dates
  • Versioned investigation playbooks
  • Activity timeline and structured disposition

Evidence & governance

  • Evidence identity, hashing and custody metadata
  • Retention and legal-hold boundaries
  • QA/four-eyes workflow
  • Audit and governance records

Human-governed AI

  • Task-bounded advisory assistance
  • Source-grounded context and provenance
  • Human review before consequential output
  • Provider-neutral routing and governance design

Portability

  • Complete Investigation Package PDF
  • Machine-readable investigation manifest
  • Structured portability bundle
  • No requirement to replace existing alert sources

AI with boundaries

Assistance, not authority

CaseAxis treats AI as an advisory layer. Deterministic services remain authoritative for tenant isolation, authorization, evidence custody, audit state, retention, exports, and workflow decisions.

No autonomous case closure No autonomous regulatory filing No silent evidence mutation Human review required

Security & current stage

Transparent about what is ready—and what is not.

CaseAxis is currently a private product in design-partner preparation. Demonstrations use fictional data. Real customer AML data is not authorized until the production security, privacy, identity, infrastructure, model-governance, backup/restore, and independent-assurance gates are satisfied for the intended pilot.

We do not claim SOC 2 certification, regulator approval, or production readiness that has not been independently established.

See the workflow

Walk through one synthetic investigation end to end.

The flagship demo follows a fictional payments alert from intake and triage through evidence, grounded AI assistance, analyst disposition, independent QA, internal SAR/STR workflow, and a portable investigation package.

Request a synthetic demo